Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
Type of Material
Type of Publication
Consortium
Language
  • 1
    Online Resource
    Online Resource
    Cambridge : RSC Publ.
    UID:
    (DE-603)335780083
    Format: XIV, 191 S.
    Edition: Online-Ausg. Online-Ressource RSC eBook Collection 2012-15 (optional 2010/11) [Online-Ausg.]
    ISBN: 1849733848 , 1849734402 , 9781849733847 , 9781849734400
    Series Statement: Issues in toxicology
    Content: The aim of this book is to provide the scientific background to using the formation of chemical categories, or groups, of molecules to allow for read-across i.e. the prediction of toxicity from chemical structure. It covers the scientific basis for this approach to toxicity prediction including the methods to group compounds (structural analogues and / or similarity, mechanism of action) and the tools to achieve this. The approaches to perform read-across within a chemical category are also described. The book will provide concise practical guidance for those wishing to apply these methods (in
    Note: Literaturangaben , Online-Ausg.:
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 2
    Online Resource
    Online Resource
    Cambridge : Royal Society of Chemistry
    UID:
    (DE-604)BV043035329
    Format: 1 online resource (xiv, 191 pages) , illustrations
    ISBN: 1849733848 , 1849734402 , 9781849733847 , 9781849734400
    Series Statement: Issues in toxicology Volume 17
    Note: Description based on print version record , The aim of this book is to provide the scientific background to using the formation of chemical categories, or groups, of molecules to allow for read-across i.e. the prediction of toxicity from chemical structure. It covers the scientific basis for this approach to toxicity prediction including the methods to group compounds (structural analogues and / or similarity, mechanism of action) and the tools to achieve this. The approaches to perform read-across within a chemical category are also described. The book will provide concise practical guidance for those wishing to apply these methods (in risk / hazard assessment) and will be illustrated with case studies. This is the first book that addresses the concept of category formation and read-across for toxicity prediction specifically. This topic has really taken off in the past few years due to concerns over dealing with the REACH legislation and also due to the availability of the OECD (Q)SAR Toolbox. Much (lengthy and complex) guidance is available on category formation e.g. from the OECD and, to a lesser extent, the European Chemicals Agency but there is no one single source of information that covers all techniques in a concise user-friendly format , Machine generated contents note: ch. 1 An Introduction to Chemical Grouping, Categories and Read-Across to Predict Toxicity / M. T. D. Cronin -- 1.1.Introduction - Ensuring the Safety of Exposure to Chemicals -- 1.1.1.In Silico Predictions of Toxicity - Grouping, Category Formation and Read-Across -- 1.1.2.In Silico Predictions of Toxicity - (Quantitative) Structure-Activity Relationships ((Q)SARs) -- 1.2.Purpose of Category Formation and Read-Across -- 1.3.History: From Structure-Activity to Grouping -- 1.4.The Process of Category Formation and Read-Across -- 1.4.1.Step 1 - Identification of the "Target" Chemical -- 1.4.1.1.Identification of the Effect and/or Endpoint to Predict -- 1.4.2.Step 2 - Identification of Similar Chemicals to the Target -- 1.4.3.Step 3 - Obtaining Toxicity Data for the Grouping or Category -- 1.4.4.Step 4 - Definition of the Category -- 1.4.5.Step 5 - Prediction of Toxicity by Read-Across -- 1.4.6.Step 6 - Documentation of the Prediction -- , Contents note continued: 1.4.6.1.Accepting or Rejecting the Prediction -- 1.4.7.Applying the Flow Chart Depicted in Figure 1.3 -- 1.5.Advantages and Disadvantages of Category Formation and Read-Across -- 1.6.Uses of Read-Across and Category Formation - Current Literature -- 1.7.Key Literature and Guidance for the Regulatory Use of Read-Across -- 1.8.Aims of this Volume -- 1.9.Conclusions -- Acknowledgement -- References -- ch. 2 Approaches for Grouping Chemicals into Categories / D. W. Roberts -- 2.1.Introduction -- 2.2.Methods of Defining Chemical Similarity Useful in Category Formation -- 2.3.Analogue Based Category -- 2.4.Common Mechanism of Action -- 2.4.1.Structural Alerts for Developing Categories for Endpoints in Which Covalent Bond Formation is the Molecular Initiating Event -- 2.4.2.Structural Alerts for Developing Categories for Endpoints in Which a Non-Covalent Interaction is the Molecular Initiating Event -- 2.5.Chemoinformatics -- , Contents note continued: 2.6.The Use of Experimental Data to Support the Development of Profilers for Chemical Category Formation -- 2.7.Adverse Outcome Pathways -- 2.8.Conclusions -- Acknowledgements -- References -- ch. 3 Informing Chemical Categories through the Development of Adverse Outcome Pathways / T. W. Schultz -- 3.1.Introduction -- 3.2.The Structure of the AOP -- 3.2.1.Development of the AOP -- 3.2.1.1.Identification of the Adverse Effect -- 3.2.1.2.Definition of the Molecular Initiating Event (MIE) -- 3.2.1.3.Recognition of Key Events Leading to the Adverse Effect -- 3.2.2.The Assessment of the AOP -- 3.3.Harmonised Reporting and Recording of an AOP -- 3.4.Use and Benefits of an AOP -- 3.4.1.Developing Chemical Categories Supported by an AOP -- 3.4.2.General Applications of AOP for Regulatory Purposes -- 3.5.A Case Study: Developing a Chemical Category for Short-Chained Carboxylic Acids Linked to Developmental Toxicity -- 3.5.1.Overview of Developmental Toxicity -- , Contents note continued: 3.5.2.Valproic and Other Short-Chained Carboxylic Acids as Developmental Toxicants -- 3.5.3.AOP for Short-Chained Carboxylic Acids as Developmental Toxicants to Organisms in Aquatic Environments -- 3.5.4.A Case Study Using Carboxylic Acid Chemical Categories to Evaluate Developmental Hazard to Species in Aquatic Environments -- 3.6.Conclusions -- Acknowledgements -- References -- ch. 4 Tools for Grouping Chemicals and Forming Categories / J. C. Madden -- 4.1.Introduction -- 4.2.Reasons for Grouping Compounds -- 4.3.The OECD QSAR Toolbox -- 4.3.1.The Workflow of the Toolbox -- 4.4.The Hazard Evaluation Support System (HESS) -- 4.5.Toxmatch -- 4.6.Toxtree -- 4.7.AMBIT -- 4.8.Leadscope -- 4.9.Vitic Nexus -- 4.10.ChemSpider -- 4.11.ChemIDPlus (Advanced) -- 4.12.Analog Identification Methodology (AIM) -- 4.13.Use of Computational Workflows in Read-Across -- 4.14.Conclusions -- Acknowledgements -- References -- , Contents note continued: ch. 5 Sources of Chemical Information, Toxicity Data and Assessment of Their Quality / J. C. Madden -- 5.1.Introduction -- 5.2.Data Useful for Category Formation and Read-Across -- 5.3.Sources of Data -- 5.3.1.In-house Data Sources -- 5.3.2.Public Data Sources -- 5.4.Strategies for Data Collection -- 5.5.Data Quality Assessment -- 5.5.1.Accurate Identification and Representation of Chemical Structure -- 5.5.2.Quality Assessment of Computationally-Derived Chemical Descriptors -- 5.5.3.Quality Assessment of Experimentally Derived Data -- 5.5.4.Guidance and Tools for Data Quality Assessment -- 5.5.5.Alternative Assessment Schemes -- 5.5.6.Problems with Assessment -- 5.6.Conclusions -- Acknowledgements -- References -- ch. 6 Category Formation Case Studies / M. T. D. Cronin -- 6.1.Introduction -- 6.2.Mechanism-based Case Studies -- 6.2.1.Case Study One: Category Formation for Ames Mutagenicity -- , Contents note continued: 6.2.2.Case Study Two: Category Formation for Skin Sensitisation -- 6.2.3.Case Study Three: Category Formation for Aquatic Toxicity -- 6.2.4.Case Study Four: Category Formation for Oestrogen Receptor Binding -- 6.2.5.Case Study Five: Category Formation for Repeated Dose Toxicity -- 6.3.Similarity-based Case Studies -- 6.3.1.Case Study Six: Category Formation for Teratogenicity -- 6.4.Conclusions -- Acknowledgements -- References -- ch. 7 Evaluation of Categories and Read-Across for Toxicity Prediction Allowing for Regulatory Acceptance / M. T. D. Cronin -- 7.1.Introduction -- 7.2.Assigning Confidence to the Robustness of a Category -- 7.3.Assigning Confidence to the Read-Across Prediction -- 7.3.1.Weight of Evidence to Support a Prediction -- 7.4.Reporting of Predictions -- 7.4.1.Tools for Category Description and Prediction -- 7.5.Regulatory Use of Predictions -- 7.6.Training and Education -- 7.7.Conclusions -- Acknowledgement -- References -- , Contents note continued: 8.3.7.Data Quality Assessment -- 8.3.8.Confidence in Predictions -- 8.3.9.Acceptance of Predictions for Regulatory Purposes -- 8.3.10.Education and Training -- 8.4.Conclusions
    Additional Edition: Erscheint auch als Druck-Ausgabe Chemical toxicity prediction
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 3
    UID:
    (DE-627)72572370X
    Format: XIV, 191 S. , graph. Darst.
    ISBN: 9781849733847
    Series Statement: Issues in toxicology 17
    Note: Literaturangaben
    Language: English
    Keywords: Toxizität ; Prognose
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 4
    Online Resource
    Online Resource
    Cambridge : Royal Society of Chemistry
    UID:
    (DE-627)1653862424
    Format: Online-Ressource (581 p)
    ISBN: 1849732094 , 9781849730044 , 9781849732093
    Series Statement: Issues in Toxicology 7
    Content: In Silico methods to predict toxicity have become increasingly important recently, particularly in light of European legislation such as REACH and the Cosmetics Regulation. They are also being used extensively worldwide e.g. in the USA, Canada, Japan and Australia. In assessing the risk that a chemical may pose to human health or to the environment, focus is now being directed towards exploitation of in silico methods to replace in vivo or in vitro techniques. A prediction of potential toxicity requires several stages: 1) Collation and organisation of data available for the compound, or if thi
    Note: Includes bibliographical references and index , 9781849730044; i_iv; v_vi; vii_viii; ix_xviii; 001_010; 011_030; 031_058; 059_117; 118_147; 148_192; 193_209; 210_227; 228_251; 252_274; 275_300; 301_333; 334_345; 346_371; 372_384; 385_407; 408_445; 446_477; 478_507; 508_530; 531_557; 558_583; 584_605; 606_623; 624_644; 645_658; 659_670
    Additional Edition: 1849730040=9781849730044
    Additional Edition: Print version In Silico Toxicology Principles and Applications
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 5
    UID:
    (DE-101)1300218312
    Format: Online-Ressource
    ISSN: 1611-0218
    Content: Abstract: Oestrogen Receptor Binding Affinity (RBA) is often used as a measure of the oestrogenicity of endocrine disrupting chemicals. Quantitative Structure–Activity Relationship (QSAR) modelling of the binding affinities has been performed by three‐dimensional approaches such as Comparative Molecular Field Analysis (CoMFA). Such techniques are restricted, however, for chemically diverse sets of chemicals as the alignment of molecules is complex. The aim of the present study was to use non‐linear methods to model the RBA to the oestrogen receptor of a large diverse set of chemicals. To this end, various variable selection methods were applied to a large group of descriptors. The methods included stepwise regression, partial least squares and recursive partitioning (Formal Inference Based Recursive Modelling, FIRM). The selected descriptors were used in Counter‐Propagation Neural Networks (CPNNs) and Support Vector Machines (SVMs) and the models were compared in terms of the predictivity of the activities of an external validation set. The results showed that although there was a certain degree of similarities between the structural descriptors selected by different methods, the predictive power of the CPNN and SVM models varied. Although the variables selected by stepwise regression led to poor CPNN models they resulted in the best SVM model in terms of predictivity. The parameters selected by some of the FIRM methods were superior in CPNN.
    In: volume:25
    In: number:10
    In: year:2006
    In: pages:824-835
    In: extent:12
    In: QSAR & combinatorial science, New York, NY [u.a.] : Wiley, 2003-2009, 25, Heft 10 (2006), 824-835 (gesamt 12), 1611-0218
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 6
    UID:
    (DE-604)BV048825093
    Format: xiv, 365 Seiten , 23 cm
    ISBN: 9781532660993 , 9781532661006
    Content: "Philosophy has sometimes been described as the discipline in which you can never be wrong, as the reserve of absentminded professors, aloof academics and purveyors of obscure ideas or interesting opinions. Quite the contrary. Philosophy answers the hard questions: Does everything happen by chance? Is there anything more than matter in the universe? Are humans in the same class as animals? Is there a God? Can we know the correct answer to these questions? The answers to these questions matter. We are all philosophers even though we are not aware of the fact. We each have a set of ultimate priorities and principles, answers to these questions, a big picture that determines our everyday thoughts, decisions, and actions. In this book Brian Cronin uses the ideas of Bernard Lonergan's Insight: A Study of Human Understanding, to argue methodically towards a correct, critical, comprehensive worldview, an answer to those big questions which is the precise task of first philosophy. This book is an accessible and readable presentation of Lonergan's metaphysics, a somewhat neglected topic. Science and philosophy are complementary. Scientists answer the concrete, detailed questions about everything around us: the parts. Philosophy integrates all these into a correct worldview of the whole: of everything." --
    Language: English
    Keywords: Weltanschauung ; Erste Philosophie ; Lonergan, Bernard J. F. 1904-1984
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 7
    UID:
    (DE-101)1313212970
    Format: Online-Ressource
    ISSN: 1521-3838
    Content: Abstract: A critical review is given of quantitative and qualitative structure‐activity relationships (QSAR) for the prediction of some non‐lethal mammalian toxicological endpoints required for regulatory purposes. QSAR in these areas of toxicology, such as irritation and respiratory allergy, is hindered by a lack of quality in vivo toxicity data to model, and by the mechanisms of action not being fully understood. Much progress has been made though into the prediction of skin sensitisation. Commercially available expert systems based on QSAR for toxicity prediction are also described and evaluated critically. Generally it is considered although some systems are well advanced in particular areas, more work is required to make expert systems sufficiently accurate for reliable toxicity prediction.
    In: volume:14
    In: number:6
    In: year:2006
    In: pages:518-523
    In: extent:6
    In: Quantitative structure activity relationships, Weinheim : Wiley-VCH, 1982-2002, 14, Heft 6 (2006), 518-523 (gesamt 6), 1521-3838
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 8
    UID:
    (DE-101)1313770175
    Format: Online-Ressource
    ISSN: 1521-3838
    Content: Abstract: A critical review is given of quantitative structure‐activity relationships (QSAR) for the prediction of mammalian toxicological endpoints. QSAR predictions for mammalian toxicity are generally poorly developed although hydrophobicity correlates well with the toxicity of unreactive chemicals. Interspecies correlations of acute toxicity are discussed and when the mode of toxic action is taken into account these may provide a valuable source of information for comparative toxicity and the potential use of surrogate species for testing.
    In: volume:14
    In: number:2
    In: year:2006
    In: pages:117-120
    In: extent:4
    In: Quantitative structure activity relationships, Weinheim : Wiley-VCH, 1982-2002, 14, Heft 2 (2006), 117-120 (gesamt 4), 1521-3838
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 9
    UID:
    (DE-101)1296449831
    Format: Online-Ressource
    ISSN: 1522-2667
    Content: Abstract: ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 200 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.
    In: volume:39
    In: number:26
    In: year:2008
    In: pages:no-no
    In: extent:1
    In: ChemInform, Weinheim : Wiley-VCH, 1987-2016, 39, Heft 26 (2008), no-no (gesamt 1), 1522-2667
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 10
    UID:
    (DE-101)1283985233
    Format: Online-Ressource
    ISSN: 1868-1751
    In: volume:30
    In: number:5
    In: year:2011
    In: pages:415-429
    In: extent:15
    In: Molecular informatics, Weinheim : Wiley-VCH-Verl., [2010]-, 30, Heft 5 (2011), 415-429 (gesamt 15), 1868-1751
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. Further information can be found on the KOBV privacy pages